iExec (RLC): tokenomics, risks and score
A marketplace for confidential computing where applications run inside secure enclaves, more recently focused on privacy preserving AI workloads.
What iExec is, and what it does
This is an AI or compute network. It coordinates machine learning work, hardware or data across many independent participants instead of one company's data centre.
What the RLC token itself does: It receives a share of the fees the protocol collects, so holding it is a claim on real revenue.
Where it runs: Ethereum. Mechanism: Confidential computing marketplace. It has been running since 2017, so roughly 9 years.
The facts
- TICKER
- RLC
- SECTOR
- AI and compute
- CHAIN
- Ethereum
- LAUNCHED
- 2017, so around 9 years of operating history
- MECHANISM
- Confidential computing marketplace
- MAXIMUM SUPPLY
- 87 million
- VALUE CAPTURE
- Fee share
- UPGRADE CONTROL
- Team controlled
- VESTING
- Complete
- LIQUIDITY BAND
- Micro cap. Thin, often a single venue or pool. Treat the quoted price as indicative only.
How the score breaks down
Each dimension is explained on the directory page, and the reasoning behind it is taught in the Academy research process.
Supply and value capture
A hard maximum supply that cannot be raised without the agreement of essentially every participant. A share of protocol fees reaches holders directly, which is the strongest form of value capture available.
The founding team retains control over upgrades or parameters. Ownership is moderately concentrated. A handful of large holders could move the market.
Where it is strong and where it is not
- Has operated for around 9 years and through at least one full bear market
- Supply is capped, so holders are not diluted indefinitely
- The token captures real protocol revenue rather than relying on speculation alone
- Audited, with published reports
- Upgrade control sits with a small group, so the rules can change
- Thin liquidity. Check order book depth before assuming you can exit
Incident history
No major exploit, collapse or regulatory action on record against this asset.
Our read
The main risk
Relies on trusted hardware with known side channel weaknesses, and marketplace usage is modest.
Before you buy anything
Check the contract address against the project's own documentation rather than a search result or a screener link, since impersonation tokens with identical names and logos are listed constantly. Check the order book depth before assuming you can exit at the quoted price. And write down what would make you wrong before you buy, not after. The Academy thesis module covers why that single habit protects more capital than any indicator.